Tom Henighan

Member of Technical Staff at Anthropic

Henighan helped show that many aspects of language-model performance improve in predictable ways as training grows. He later studied where those patterns break down—including how repeated data can harm a model—and contributed to methods for making assistants more helpful and less harmful.